Exploring:
How one enterprise media and archival team approached AI adoption while facing increasing workloads, growing asset collections, and limited staff growth.
Offering:
Perspectives from both manager and senior leadership on building responsible, scalable AI adoption strategies that balance innovation, operational efficiency, and team trust.
Highlighting:
How leadership helped guide organizational strategy, address fears about job displacement, and create a “human-in-the-loop” approach focused on helping staff work more effectively rather than replacing them.
Covering:
Practical lessons from implementing facial recognition, speech-to-text, and early automation workflows, including both successes and setbacks.
Examining:
How data driven experimentation, staff engagement through facilitated dialogues, and enterprise support helped shift organizational culture from cautious skepticism to active AI adoption.
Including:
Ongoing considerations around ROI, vendor transparency, compliance, and the future of organization-trained AI models and agentic automation.